Evidence map›Paper›PMID 42122448›Full record

ArticleSensors (Basel, Switzerland)2026

Self-Powered Triboelectric Vibration Sensor with Gap-and-Substrate-Tuned Design for Real-Time Monitoring of Automotive Engine Operating States.

Min Seok Jang, Jiyong Park, Young Won Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Min Seok JangKorea Additive Manufacturing Technology Innovation Center, Korea Institute of Industrial Technology, Siheung 15014, Republic of Korea.
Jiyong ParkAdvanced Packaging Integration Center (APIC), Korea Institute of Industrial Technology, 156, Gaetbeol-Ro, Yeonsu-Gu, Incheon 21999, Republic of Korea.ORCID 0000-0002-8428-2118
Young Won KimKorea Additive Manufacturing Technology Innovation Center, Korea Institute of Industrial Technology, Siheung 15014, Republic of Korea.ORCID 0000-0001-7345-9486

Funding

Ministry of Trade, Industry and Energy KM260157
6 · The paper itself

Abstract

Continuous monitoring of vehicle engine vibration is a key enabler of real-time diagnostics, yet conventional accelerometers require an external power supply and fit poorly into the distributed sensor networks envisioned for next-generation vehicles. Triboelectric nanogenerators offer an attractive self-powered alternative, but their direct application to the vibration of a running passenger vehicle engine, and the explicit link between sensor design parameters and individual engine operating states, remains largely unexplored. Here, we address this gap by co-tuning the air gap and the substrate rigidity of a contact-separation triboelectric vibration sensor to the vibration spectrum of an automotive engine. A systematic 3 × 3 design sweep across three gap distances and three substrate types identifies a single configuration that simultaneously resolves the low-frequency idle band and the higher-frequency acceleration band of a four-cylinder gasoline engine. A frequency-amplitude response map confirms that the real engine operating points fall within the sensitive region of the optimized device, and an on-vehicle test demonstrates clean discrimination of all seven operating states, from ready to shut-down, without any external power. The results establish design guidelines for source-matched triboelectric vibration sensors and outline a practical path toward self-powered, wireless-ready engine health monitoring in future vehicles.

Indexed as

automotive engine monitoringcontact-separation modeelectrospun nanofiberPVDF-TrFEself-powered sensortriboelectric nanogeneratorvibration sensor

Identifiers

PMID42122448
PMCPMC13165633

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.